Under the terms of the US/German MoU (Helicopter Aeromechanics) the Task IX - Modeling and Simulation for Rotorcraft Systems - is defined:
”The overall objective of this task is to improve the modeling accuracy and understanding of helicopter dynamics and control. Improved modeling and understanding of the important issues can be used to increase the fidelity of ground-based simulations, thus allowing early pilot evaluation during the development of new control systems, compatibility checks for improved safety, decreases in experimental flight testing, and hence a reduction in costs and risks.”
One of the recent subtasks under Task IX has been a disturbance rejection study [1], resulting in a UH-60 Black Hawk control equivalent turbulence simulation model [2].
Figure 1: Turbulence model extraction
As illustrated in Figure 1 the basic idea is to have a pilot loosely stabilize a helicopter in a turbulent (input T ) environment (e. g. hovering on the leeward side of a high building), and measure the pilot control inputs (P ) and the reaction (rates, velocities, . . . ) of the helicopter (x). In the off-line extraction phase the measured reaction x (which includes the reaction of the helicopter to both the turbulence and the pilot input) is fed into an inverse model of the helicopter, resulting in the corresponding control input P+T that would be necessary to produce the measured reaction. Again, P+T includes turbulence and pilot input. If the measured pilot input P is subtracted, an equivalent turbulence input Teq remains.
This equivalent turbulence input can then directly be used as an additional control input in any kind of simulator; without the need to gain and implement more complex turbulence models.
During the actual model extraction approach [1] it became clear that
”Ideally, an exact numerical inverse of the coupled MIMO model would be used.”
This paper will therefore present and discuss different approaches to invert dynamical systems.
Inhaltsverzeichnis (Table of Contents)
- 1 Introduction
- 2 Transfer Function Inversion
- 3 State-Space Inversion
- 4 Improper Inverse
- 5 Proper Inversion
- 6 The MIMO Case
- 6.1 Example
- 6.2 Numerical Inversion
- 6.3 Analytical Inversion
- 6.4 Propering Filter
- 6.5 Proper Inversion
- 6.5.1 Analytical Proper Inversion
- 6.5.2 Inverse via Limit
- 6.5.3 Root Locus
- 6.5.4 Implementation of the Proper Inverse
- 7 Unstable Systems
- 8 Transmission Zeros
- 9 Inversion of a Nonlinear System
- 10 EC-135 Inversion
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
The main objective of this work is to explore different methods for inverting dynamic systems, focusing on applications in helicopter control and simulation. The research aims to improve the accuracy and understanding of helicopter dynamics by developing effective inverse models for disturbance rejection and simulation fidelity enhancement.
- System Inversion Techniques: Exploring various methods for inverting both linear and non-linear systems.
- Helicopter Dynamics and Control: Applying inversion techniques to improve helicopter models for simulation.
- Disturbance Rejection: Utilizing inverse models for effective disturbance rejection in helicopter control.
- Model Accuracy and Fidelity: Enhancing the accuracy and realism of helicopter simulations.
- MIMO Systems: Addressing the complexities and challenges of inverting multi-input multi-output systems.
Zusammenfassung der Kapitel (Chapter Summaries)
1 Introduction: This chapter introduces the overall objective of Task IX under the US/German MoU (Helicopter Aeromechanics), which focuses on improving the modeling accuracy and understanding of helicopter dynamics and control. It highlights a disturbance rejection study and the development of a UH-60 Black Hawk control equivalent turbulence simulation model. The chapter uses the example of turbulence model extraction from flight test data to illustrate the importance of accurate helicopter modeling for enhancing simulation fidelity and reducing costs associated with experimental flight testing.
2 Transfer Function Inversion: This chapter would delve into the fundamental principles of transfer function inversion, a widely used technique for inverting linear time-invariant systems. It would likely cover methods for calculating the inverse transfer function, addressing issues such as the existence and uniqueness of the inverse, and discussing the stability implications of the inversion process. The chapter's significance lies in establishing a foundational understanding of system inversion techniques, which are essential for more complex scenarios discussed in later chapters.
3 State-Space Inversion: This chapter would likely focus on the application of state-space methods for inverting dynamic systems. The discussion would involve different state-space representations (e.g., controllable canonical form, observable canonical form), methods for calculating the inverse system's state-space matrices, and an analysis of stability and controllability/observability aspects of the inverted system. Its importance lies in providing an alternative approach to system inversion compared to the frequency domain methods presented in Chapter 2, expanding the toolkit for handling a broader range of system models.
4 Improper Inverse: This chapter would discuss the concept and consequences of improper inverse systems in the context of system inversion. It would likely explore the characteristics of improper inverses, such as their non-causal nature and potential instability issues. The chapter's significance lies in highlighting potential limitations and pitfalls in straightforward inversion techniques and establishing the need for more sophisticated methods, particularly in scenarios where stability is a critical concern.
5 Proper Inversion: This chapter would introduce the concept of proper inversion, which addresses the limitations of improper inverses and aims to ensure stability and causality. The discussion would likely encompass methods for designing proper inverses and analyze their properties, such as stability, robustness, and performance characteristics. The chapter is crucial because it introduces a more robust and practical approach to system inversion that overcomes challenges encountered with simpler methods.
6 The MIMO Case: This chapter would extend the system inversion concepts to multi-input multi-output (MIMO) systems, which present significantly more complex challenges. It would likely discuss various methods for inverting MIMO systems, exploring both numerical and analytical approaches, and potentially touching upon the use of propering filters to ensure stability and causality. The chapter's importance lies in dealing with realistic scenarios where multiple inputs and outputs are involved, making it a vital step towards real-world applications.
7 Unstable Systems: This chapter would address the complexities of inverting unstable systems, a particularly challenging aspect of system inversion. The discussion would likely cover methods for stabilizing unstable systems before or during the inversion process, exploring techniques such as feedback control and pole placement. The chapter's significance lies in its ability to address a critical limitation in system inversion techniques and expands their applicability to a wider range of systems.
8 Transmission Zeros: This chapter is likely to analyze the impact of transmission zeros on system inversion. It will discuss how these zeros affect the stability and performance of the inverse system and potentially explore methods for mitigating their negative effects. The significance of this chapter lies in its identification of a crucial factor affecting the invertability and stability of a system.
9 Inversion of a Nonlinear System: This chapter would address the challenging task of inverting nonlinear systems, which often require more sophisticated techniques compared to linear systems. The discussion would likely cover various nonlinear inversion methods and their applicability to different types of nonlinear systems, addressing issues like local vs. global invertibility and potential limitations. The chapter is crucial for expanding the scope of the study to a wider class of systems.
10 EC-135 Inversion: This chapter would present a case study of applying system inversion techniques to a specific helicopter model, the EC-135. It would likely detail the chosen inversion method, the challenges encountered, and the results obtained. The chapter's importance lies in showcasing the practical application of the previously discussed theoretical concepts and demonstrating their effectiveness in a real-world scenario.
Schlüsselwörter (Keywords)
System inversion, transfer function, state-space, MIMO systems, proper inversion, improper inverse, unstable systems, transmission zeros, nonlinear systems, helicopter dynamics, control systems, simulation, disturbance rejection, UH-60 Black Hawk, EC-135.
Frequently Asked Questions: A Comprehensive Guide to System Inversion Techniques
What is the main objective of this work?
The primary goal is to explore various methods for inverting dynamic systems, particularly focusing on their application in helicopter control and simulation. This research aims to enhance the accuracy and understanding of helicopter dynamics by developing effective inverse models. These models improve disturbance rejection and boost the fidelity of simulations.
What system inversion techniques are explored?
The document investigates several techniques, including transfer function inversion, state-space inversion, and methods for handling improper and proper inverses. It also addresses the complexities of inverting multi-input multi-output (MIMO) systems, unstable systems, and nonlinear systems.
How are these techniques applied to helicopter dynamics and control?
The research applies inversion techniques to improve helicopter models used in simulations. The improved models are used to enhance disturbance rejection capabilities in helicopter control systems. A case study using the EC-135 helicopter model is presented to illustrate the practical application of these techniques.
What are the key benefits of using inverse models in helicopter simulations?
Inverse models are used to improve the accuracy and realism of helicopter simulations. This leads to better understanding of helicopter behavior and reduces the reliance on expensive and time-consuming experimental flight testing.
What are the challenges involved in inverting MIMO systems?
Inverting MIMO systems presents significant complexity. The document explores both numerical and analytical approaches to address these challenges, including the use of propering filters to ensure stability and causality. Specific challenges addressed include handling multiple inputs and outputs, ensuring stability, and achieving causality.
How does the document handle unstable systems?
The document specifically addresses the challenges of inverting unstable systems. It explores methods for stabilizing unstable systems before or during the inversion process, potentially utilizing techniques such as feedback control and pole placement.
What is the significance of transmission zeros in system inversion?
Transmission zeros significantly impact the stability and performance of the inverse system. The document analyzes their effect and explores potential methods for mitigating their negative consequences.
How does the document address nonlinear systems?
The inversion of nonlinear systems, a considerably more complex task than linear system inversion, is addressed using various nonlinear inversion methods. The document discusses their applicability, considering factors such as local versus global invertibility and inherent limitations.
What is the purpose of the EC-135 inversion case study?
The EC-135 case study demonstrates the practical application of the theoretical concepts discussed throughout the document. It showcases the chosen inversion method, challenges encountered during implementation, and the achieved results in a real-world context.
What are the key keywords associated with this work?
Key terms include system inversion, transfer function, state-space, MIMO systems, proper inversion, improper inverse, unstable systems, transmission zeros, nonlinear systems, helicopter dynamics, control systems, simulation, disturbance rejection, UH-60 Black Hawk, and EC-135.
What are the chapter summaries?
The document provides detailed summaries for each chapter, outlining the core concepts and contributions of each section. These summaries are designed to provide a concise overview of the document's contents. They include an introduction, detailing the overall objective and context of the research, followed by in-depth explanations for each chapter covering topics from transfer function and state-space inversion to handling MIMO systems and nonlinear systems, concluding with a real-world application case study on EC-135 inversion.
- Quote paper
- Prof. Dr.-Ing. Jörg Buchholz (Author), Wolfgang v. Grünhagen (Author), 2007, Inversion Impossible?, Munich, GRIN Verlag, https://www.grin.com/document/85745